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Paper Citation Record · LEDGER

Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.11304.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.11304 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:05.990031Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T11:52:07.706541Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 184468fc-1453-4b51-bbde-0a15040b9d00 · inbound

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data cites this paper.

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:35.839360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:35.839360Z digest=sha256:c1ad64dad453a0eeefad3ecd6652caea812ec0c83350b467e2e3672b488921e7

Observation 30f08b33-77b5-441e-a28d-a8e1e45251af · inbound

Hybrid Parameterized Quantum States for Variational Quantum Learning cites this paper.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:05.990031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:02:05.990031Z digest=sha256:3d8583e5c9120e69bdd827ee459439f35417c1a1bbdcb8596da6383417073e66

Observation 2f0bcc56-3aaa-4e2b-bc03-065414297c83 · inbound

Quantum computing and artificial intelligence: status and perspectives cites this paper.

Quantum computing and artificial intelligence: status and perspectives Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:53:58.828155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:53:58.828155Z digest=sha256:bb0146be7472c140da419a0901a93be0f0fcb0e5ce69a3d6b01e8b5023e4000f

Observation 153e2c37-224a-4bfe-ab0a-74ac788f1ff3 · inbound

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis cites this paper.

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:52:07.754779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:52:07.348767Z digest=sha256:c3d6f0cd3b659ed9573b43fea398e2a30b9441116f2818189ab48fe28c6b6407

Observation 8c4afac3-c83f-45a8-8a12-593bc444109d · inbound

Quantum Relational Knowledge Distillation cites this paper.

Quantum Relational Knowledge Distillation Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T19:15:33.373600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:15:33.373600Z digest=sha256:8cb7ffb3612de8267e4c1e629b2c8723b3eaa90de6eb69ca508087ab70a62fbb

Observation ce2d9520-fd3d-44e8-944e-04b8f89d3bc4 · inbound

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks cites this paper.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T16:32:36.373372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:32:36.373372Z digest=sha256:8e61a3adee70ab9e6d284ad3e5d424466f9708d9f8d659a82ffc422d0557c5ae